Parameter-Layered-Based Multiobjective Optimization of Surface-Mounted VPMM for Enhancing Power Factor

Unlike traditional permanent magnet synchronous motors (PMSMs), the vernier PM motors (VPMMs) commonly suffer from a low power factor. The purpose of this article is to develop a parameter-layered-based multiobjective optimization method for a surface-mounted vernier PM motor surface-mounted vernier permanent-magnet motor (SVPMM), aiming to enhance the power factor. By deriving the power factor expression, the optimization of power factor can be converted to optimize the no-load back electromotive force (EMF) and q-axis inductance. With the help of sensitivity analysis, the key is to implement the parameter layering and optimization objective decoupling simultaneously, thus, jointly employing with the response surface (RS) method and artificial bee colony (ABC) algorithm for layers 1 and 2, respectively, to quickly obtain satisfactory optimization solutions compared to conventional motor design approaches. The performance comparison between the initial and optimized SVPMM is conducted by using the finite element analysis (FEA), and the experimental verification is also carried out, which evidences the validity of power factor enhancement after the proposed parameter-layered-based multiobjective optimization.